Spatio-temporal analysis of brain MRI images using hidden Markov models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 160-168

  Wang, Ying ^a   Resnick, Susan M ^b   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b NATIONAL INSTITUTE ON AGING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

4D IMAGES; BRAIN MRI; DATA SETS; EARLY DETECTION; HIDDEN STATE; HMM MODELS; MORPHOLOGICAL MEASUREMENTS; REGIONAL CLUSTERING; SPATIAL PATTERNS; SPATIO-TEMPORAL MODELS; SPATIOTEMPORAL ANALYSIS; TEMPORAL DYNAMICS;

BRAIN MODELS; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; OBJECT RECOGNITION; SPEECH RECOGNITION;

HIDDEN MARKOV MODELS;

ADULT; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; PATHOLOGY; PROBABILITY; REPRODUCIBILITY; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ADULT; ALGORITHMS; BRAIN; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MARKOV CHAINS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

EID: 79960098823     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_20     Document Type: Conference Paper

References (16)

1. Golland, P., et al.: Discriminative analysis for image-based studies. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2488, pp. 508-515. Springer, Heidelberg (2002)
2. Fan, Y., et al.: Compare: Classification of morphological patterns using adaptive regional elements. IEEE Transactions on Medical Imaging 26, 93-105 (2007) (Pubitemid 46096354)
3. Kloppel, S., et al.: Automatic classification of MRI scans in Alzheimer's disease. Brain 131(3), 681-689 (2008) (Pubitemid 351294712)
4. Vemuri, P., et al.: MRI and CSF biomarkers in normal, MCI, and AD subjects: Diagnostic discrimination and cognitive correlations. Neurology 73, 287-293 (2009)
5. Duchesne, S., et al.: Relating one-year cognitive change in mild cognitive impairment to baseline MRI features. NeuroImage 47(4), 1363-1370 (2009)
6. Ashburner, J.: A fast diffeomorphic image registration algorithm. NeuroImage 38(1), 95-113 (2007)
7. Franke, K., Ziegler, G., Klöppel, S., Gaser, C.: Estimating the age of healthy subjects from t1-weighted mri scans using kernel methods: Exploring the influence of various parameters. Neuroimage 50(3), 883-892 (2010)
8. Wang, Y., et al.: High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables. NeuroImage 50(4), 1519- 1535 (2010)
9. Sullivan, E.V., et al.: Differential rates of regional brain change in callosal and ventricular size: a 4-year longitudinal mri study of elderly men. Cereb. Cortex 12, 438-445 (2002)
10. Resnick, S.M., et al.: Longitudinal magnetic resonance imaging studies of older adults: A shrinking brain. The Journal of Neuroscience 23, 3295-3301 (2003)
11. Driscoll, I., et al.: Longitudinal pattern of regional brain volume change differentiates normal aging from MCI. Neurology 72(22), 1906-1913 (2009)
12. Rabiner, L.R.: A tutorial on hidden markov models and selected applications in speech recognition. In: Proceedings of the IEEE, pp. 257-286 (1989)
13. Moeslund, T.B., et al.: A survey of advances in vision-based human motion capture and analysis. Comput. Vis. Image Underst. 104(2), 90-126 (2006)
14. Katanoda, K., Matsuda, Y., Sugishita, M.: A spatio-temporal regression model for the analysis of functional mri data. NeuroImage 17(3), 1415-1428 (2002)
15. Woolrich, M., et al.: Fully bayesian spatio-temporal modeling of fmri data. IEEE Transactions on Medical Imaging 23(2), 213-231 (2004)
16. Quirós, A., Diez, R.M., Gamerman, D.: Bayesian spatiotemporal model of fmri data. NeuroImage 49(1), 442-456 (2010)